Network selection method and device, and storage medium

Abstract

The invention provides a network selection method and device and a storage medium. According to the invention, the terminal selects the network based on the first information indicating the AI capability related information of the network, so that the terminal can select the network satisfying the AI capability demand of the terminal based on the first information, thereby effectively preventing the terminal from selecting the network not supporting the AI capability demand of the terminal during network selection.

Description

Network selection method and apparatus, and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the field of communications, and in particular to a network selection method and apparatus, and storage medium. BACKGROUND

[0002] The 6th Generation Mobile Communication Technology (6G) will provide efficient end-to-end support for Artificial Intelligence (AI) related services and applications, and through the 6G network, distributed intelligent agents can be intelligently connected so that AI can be deployed on a large scale in various industries. However, there can be different AI deployment methods in the 6G network, and different networks can have different support for AI.

[0003] SUMMARY

[0004] In order to effectively avoid the terminal selecting a network that does not support the AI capability requirement of the terminal when performing network selection, an embodiment of the present disclosure provides a network selection method and apparatus, and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a network selection method is provided, the method being performed by a terminal, and the method comprising: selecting, based on first information, a network that meets an Artificial Intelligence (AI) capability requirement of the terminal, the first information being used to indicate information related to an AI capability of a network.

[0006] According to a second aspect of an embodiment of the present disclosure, a network selection method is provided, the method being performed by an access network device, and the method comprising: sending, to a terminal, first information, the first information being used to indicate information related to an AI capability of a network, and the first information also being used for the terminal to select a network that meets an AI capability requirement of the terminal.

[0007] According to a third aspect of an embodiment of the present disclosure, a network selection method is provided, the method being performed by a core network device, and the method comprising: sending, to a terminal, first information, the first information being used to indicate information related to an AI capability of a network, and the first information also being used for the terminal to select a network that meets an AI capability requirement of the terminal.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a terminal is provided, comprising: a processing module configured to select, based on first information, a network that meets an AI capability requirement of the terminal, the first information being used to indicate information related to an AI capability of a network.

[0009] According to a fifth aspect of the embodiments of the present disclosure, an access network device is provided, comprising: a transceiver configured to send first information to a terminal, the first information being used to indicate information related to AI capability of a network, and the first information also being used for the terminal to select a network that meets AI capability requirement of the terminal.

[0010] According to a sixth aspect of the embodiments of the present disclosure, a core network device is provided, comprising: a transceiver configured to send first information to a terminal, the first information being used to indicate information related to AI capability of a network, and the first information also being used for the terminal to select a network that meets AI capability requirement of the terminal.

[0011] According to a seventh aspect of the embodiments of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the terminal is configured to perform the network selection method according to the first aspect.

[0012] According to an eighth aspect of the embodiments of the present disclosure, an access network device is provided, comprising: one or more processors; wherein the access network device is configured to perform the network selection method according to the second aspect.

[0013] According to a ninth aspect of the embodiments of the present disclosure, a core network device is provided, comprising: one or more processors; wherein the core network device is configured to perform the network selection method according to the third aspect.

[0014] According to a tenth aspect of the embodiments of the present disclosure, a communication system is provided, comprising a terminal and a network device, the network device comprising an access network device and / or a core network device, wherein the terminal is configured to implement the network selection method according to the first aspect, the access network device is configured to implement the network selection method according to the second aspect, and the core network device is configured to implement the network selection method according to the third aspect.

[0015] According to an eleventh aspect of the embodiments of the present disclosure, a storage medium is provided, the storage medium storing instructions, when the instructions are run on a communication device, causing the communication device to perform the network selection method according to any one of the first aspect, the second aspect and the third aspect.

[0016] According to the embodiments of the present disclosure, the terminal performs network selection based on the first information indicating the information related to AI capability of the network, so that the terminal can select a network that meets AI capability requirement of the terminal based on the first information, thereby effectively avoiding the terminal from selecting a network that does not support AI capability requirement of the terminal when performing network selection.

[0017] It should be understood that the general description above and the following detailed description are only exemplary and explanatory, and cannot limit the present disclosure. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0019] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0020] Figure 2A is an interactive schematic diagram of a network selection method according to an embodiment of the present disclosure.

[0021] Figure 2B is an interactive schematic diagram of a network selection method according to an embodiment of the present disclosure.

[0022] Figure 2C is a schematic flowchart illustrating a network selection method according to an embodiment of the present disclosure.

[0023] Figure 3A is a schematic flowchart illustrating a network selection method according to an embodiment of the present disclosure.

[0024] Figure 3B is a schematic flowchart illustrating a network selection method according to an embodiment of the present disclosure.

[0025] Figure 3C is a schematic flowchart illustrating a network selection method according to an embodiment of the present disclosure.

[0026] Figure 4A is a schematic diagram of the structure of the terminal proposed in an embodiment of this disclosure.

[0027] Figure 4B is a schematic diagram of the structure of the access network device proposed in an embodiment of this disclosure.

[0028] Figure 4C is a schematic diagram of the core network device proposed in an embodiment of this disclosure.

[0029] Figure 5A is a schematic diagram of the structure of the communication device 5100 proposed in an embodiment of this disclosure.

[0030] Figure 5B is a schematic diagram of the structure of the chip 5200 proposed in the embodiments of this disclosure. Detailed Implementation

[0031] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0032] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting thereof. As used in this disclosure and the appended claims, the singular forms "a," "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will also be understood that the term "and / or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

[0033] It is to be understood that, although the terms first, second, third, etc. can be used herein to describe various messages, the messages should not be limited to these terms. These terms are only used to distinguish one message from another. For example, a first message could be termed a second message without departing from the scope of this disclosure, and, similarly, a second message could be termed a first message. The word "if' as used herein means "when" or "upon" or "in response to the determination" depending on the context.

[0034] The embodiments of the present disclosure provide a network selection method and device, and a storage medium.

[0035] In a first aspect, the embodiments of the present disclosure provide a network selection method. The method is performed by a terminal, and includes: selecting, based on first information, a network that meets an artificial intelligence (AI) capability requirement of the terminal, the first information being used to indicate information related to an AI capability of a network.

[0036] In the above embodiments, the network selection is performed by the terminal based on the first information indicating the information related to the AI capability of the network, so that the terminal can select, based on the first information, the network that meets the AI capability requirement of the terminal, thereby effectively avoiding the terminal from selecting the network that does not support the AI capability requirement of the terminal when performing the network selection.

[0037] In combination with some embodiments of the first aspect, in some embodiments, the first information includes network identification information and / or AI capability information of the network.

[0038] In the above embodiments, various optional information types that the first information can include are provided, so that the content included in the first information can be flexibly configured as needed, improving the flexibility and diversity of the first information.

[0039] In some embodiments of the first aspect, in some embodiments, the AI capability information of the network comprises at least one of: first indication information indicating whether the network supports AI capability; second indication information indicating whether the network supports AI capability sharing; third indication information indicating an AI capability sharing mode supported by the network; fourth indication information indicating an AI service supported by the network; fifth indication information indicating an AI use case supported by the network; and sixth indication information indicating an AI resource supported by the network.

[0040] In the above embodiments, various optional information types that the AI capability information of the network can comprise are provided, so that the content included in the AI capability information of the network can be flexibly configured as needed, improving the flexibility and diversity of the AI capability information of the network.

[0041] In some embodiments of the second aspect, in some embodiments, the AI capability sharing mode comprises at least one of: sharing AI capability by a terminal to the network; sharing AI capability by the network to a terminal; and sharing AI capability between terminals.

[0042] In the above embodiments, various optional AI capability sharing modes are provided, so that the AI capability sharing mode supported by the network can be flexibly configured as needed, improving the flexibility and diversity of the third indication information, and thus the flexibility and diversity of the AI capability information of the network can be improved.

[0043] In some embodiments of the first aspect, in some embodiments, the AI service comprises at least one of: AI model training service; AI model inference service; AI model verification service; and AI model data service.

[0044] In the above embodiments, various optional AI service types are provided, so that the AI service supported by the network can be flexibly configured as needed, improving the flexibility and diversity of the fourth indication information, and thus the flexibility and diversity of the first information can be improved.

[0045] In some embodiments of the first aspect, in some embodiments, the AI use case comprises at least one of: AI use case based on AI positioning; and AI use case based on AI beam management.

[0046] In the above embodiments, various optional AI use case types are provided, so that the AI use case supported by the network can be flexibly configured as needed, improving the flexibility and diversity of the fifth indication information, and thus the flexibility and diversity of the first information can be improved.

[0047] In some embodiments of the first aspect, in some embodiments, the AI resource includes at least one of: an AI computing resource; an AI algorithm resource; an AI data resource; and an AI connection resource.

[0048] In the above embodiments, a plurality of optional AI resource types are provided, so that the AI resource supported by the network can be flexibly configured as needed, thereby improving the flexibility and diversity of the sixth indication information, and thereby improving the flexibility and diversity of the first information.

[0049] In some embodiments of the first aspect, in some embodiments, the AI capability information of the network further includes seventh indication information, the seventh indication information being used to indicate an AI capability action range of the network; and the AI capability action range includes a time range and / or a region range.

[0050] In the above embodiments, the AI capability information of the network includes the seventh indication information, so that the indication of the AI capability action range can be realized through the seventh indication information, thereby ensuring that the AI capability of the network can be configured to be effective within a specific time range and / or region range, and thereby improving the flexibility of the AI capability configuration process of the network.

[0051] In some embodiments of the first aspect, in some embodiments, the method further includes at least one of: receiving the first information sent by the access network device; receiving the first information sent by the core network device; and obtaining the first information pre-configured or pre-defined in the terminal.

[0052] In the above embodiments, a plurality of optional implementation manners of the terminal obtaining the first information are provided, so that the terminal can obtain the first information in a plurality of manners, thereby improving the flexibility of the process of the terminal obtaining the first information.

[0053] In some embodiments of the first aspect, in some embodiments, the receiving the first information sent by the access network device includes: receiving a system message sent by the access network device, and the first information is included in the system message.

[0054] In the above embodiments, in the case where the first information is provided by the access network device for the terminal, the system message is used as a carrier of the first information, so as to realize multiplexing of the system message, thereby improving the message utilization rate of the system message.

[0055] In some embodiments of the first aspect, in some embodiments, the receiving the first information sent by the core network device comprises: receiving a NAS message sent by a first network element in the core network device, the first information being included in the NAS message; wherein the first information is determined by the first network element based on information provided by the access network device, or the first information is determined by the first network element based on information provided by an AI entity, or the first information is determined by the first network element based on information provided by a second network element in the core network device, or the first information is determined by the first network element based on information provided by a server node.

[0056] In the above embodiments, in the case where the first information is provided for the terminal by the core network device, the first information is provided for the terminal by the first network element in the core network device, and the NAS message is taken as a carrier of the first information, so as to realize multiplexing of the NAS message, thereby improving the message utilization rate of the NAS message. In addition, multiple sources of information for the first network element in the core network device to determine the first information are provided, so that the determination of the first information can be realized through the information of multiple sources, and the flexibility of the first information determination process is improved.

[0057] In some embodiments of the first aspect, in some embodiments, the selecting a network satisfying the AI capability requirement of the terminal based on the first information comprises: performing cell search based on the first information to obtain cell information of a first cell on each frequency point in the network; and selecting a network satisfying the AI capability requirement of the terminal based on the cell information of the first cell on each frequency point in the network.

[0058] In the above embodiments, an optional implementation of the network selection by the terminal based on the first information is provided, so as to ensure the smooth progress of the network selection process.

[0059] In some embodiments of the first aspect, in some embodiments, the cell information is used to indicate at least one of the following: identification information of a network to which the cell belongs; network AI capability of the cell; and signal quality of the cell.

[0060] In the above embodiments, multiple optional cell information is provided, so that the network selection can be realized based on multiple cell information, and the flexibility of the network selection process is improved.

[0061] In some embodiments of the first aspect, in some embodiments, the method further comprises: when there are multiple networks capable of satisfying the AI capability requirement of the terminal, selecting one network from the multiple networks.

[0062] In the above embodiment, by selecting one network from the multiple networks in the case that the multiple networks can meet the AI capability requirement of the terminal, it is ensured that one network meeting the capability requirement of the terminal can be selected, and the smooth progress of the network selection process of the terminal is ensured.

[0063] In combination with some embodiments of the first aspect, in some embodiments, the selecting one network from the multiple networks comprises at least one of the following: selecting a network with the highest priority from the multiple networks based on priority information of the multiple networks; selecting a network with the best cell signal quality from the multiple networks based on cell signal quality of the multiple networks; selecting one network from the multiple networks based on a network selection policy of the terminal.

[0064] In the above embodiment, multiple optional implementation manners of selecting one network from the multiple networks meeting the AI capability requirement of the terminal are provided, so as to improve the flexibility of the network selection process of the terminal on the basis of ensuring that the terminal can implement network selection.

[0065] In combination with some embodiments of the first aspect, in some embodiments, the priority information of the multiple networks is determined based on at least one of the following: being configured for the terminal by an access network device; being configured for the terminal by a core network device; being predefined or preconfigured to the terminal.

[0066] In the above embodiment, multiple optional implementation manners of obtaining the priority information of the multiple networks by the terminal are provided, so that the terminal can obtain the priority information of the multiple networks in multiple manners, and the flexibility of the obtaining process of the network priority is improved.

[0067] In combination with some embodiments of the first aspect, in some embodiments, the network meeting the AI capability requirement of the terminal is selected based on the first information in the case that at least one of the following conditions is met: a state of the terminal meets a network selection condition; there is a network with a priority higher than a priority of a network currently accessed by the terminal; a first period is met, and a period length of the first period is specific to a process of selecting a network meeting the AI capability requirement of the terminal; the network currently accessed by the terminal does not meet the AI capability requirement of the terminal.

[0068] In the above embodiment, multiple optional implementation manners of triggering the network selection of the terminal are provided, so that the terminal can select a network meeting the AI capability requirement of the terminal in the case that multiple conditions are met, and the flexibility of the network selection process is improved.

[0069] In combination with some embodiments of the first aspect, in some embodiments, the AI capability requirement of the terminal is determined by the terminal through NAS, or the AI capability requirement of the terminal is determined by the terminal through AS.

[0070] In the above embodiments, multiple optional implementation manners of the terminal determining its AI capability requirement are provided, so that the terminal can determine its AI capability requirement in multiple optional manners, thereby improving the flexibility of the process of determining the AI capability requirement of the terminal.

[0071] In combination with some embodiments of the first aspect, in some embodiments, the network comprises at least one of the following: a public land mobile network (PLMN); a public network interconnected non-public network (PNI-NPN); and a standalone non-public network (SNPN).

[0072] In the above embodiments, multiple optional network types are provided, so that the terminal can select a network satisfying its AI capability requirement in multiple types of networks, thereby improving the flexibility of the network selection process of the terminal.

[0073] In the second aspect, the embodiments of the present disclosure provide a network selection method, the method is performed by an access network device, and the method comprises the following steps: sending first information to a terminal, wherein the first information is used to indicate AI capability related information of a network, and the first information is also used for the terminal to select a network satisfying AI capability requirement of the terminal.

[0074] In the above embodiments, by sending the first information to the terminal by the access network device, the first information is used to indicate the AI capability related information of the network, so that the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information, thereby effectively avoiding the terminal selecting a network not supporting the AI capability requirement of the terminal when performing network selection.

[0075] In combination with some embodiments of the second aspect, in some embodiments, the step of sending the first information to the terminal comprises the following step: sending a system message to the terminal, wherein the first information is included in the system message.

[0076] In combination with some embodiments of the second aspect, in some embodiments, the first information comprises network identification information and / or AI capability information of the network.

[0077] In some embodiments of the second aspect, in some embodiments, the AI capability information of the network comprises at least one of: first indication information indicating whether the network supports AI capability; second indication information indicating whether the network supports AI capability sharing; third indication information indicating an AI capability sharing mode supported by the network; fourth indication information indicating an AI service supported by the network; fifth indication information indicating an AI use case supported by the network; and sixth indication information indicating an AI resource supported by the network.

[0078] In some embodiments of the second aspect, in some embodiments, the AI capability sharing mode comprises at least one of: sharing AI capability by a terminal to the network; sharing AI capability by the network to a terminal; and sharing AI capability between terminals.

[0079] In some embodiments of the second aspect, in some embodiments, the AI service comprises at least one of: AI model training service; AI model inference service; AI model verification service; and AI model data service.

[0080] In some embodiments of the second aspect, in some embodiments, the AI use case comprises at least one of: AI use case based on AI positioning; and AI use case based on AI beam management.

[0081] In some embodiments of the second aspect, in some embodiments, the AI resource comprises at least one of: AI computing power resource; AI algorithm resource; AI data resource; and AI connection resource.

[0082] In some embodiments of the second aspect, in some embodiments, the AI capability information of the network further comprises seventh indication information indicating an AI capability scope of the network; and the AI capability scope comprises a time scope and / or a region scope.

[0083] In some embodiments of the second aspect, in some embodiments, there are multiple networks, and the method further comprises: configuring priority information of the multiple networks for the terminal.

[0084] In the above embodiments, in the case where there are multiple networks, the access network device configures priority information of the multiple networks for the terminal, so that the terminal can obtain the priority information of the multiple networks, and network selection is implemented based on the priority information of the multiple networks.

[0085] In some embodiments of the second aspect, in some embodiments, the network comprises at least one of: a PLMN; a PNI-NPN; and a SNPN.

[0086] Thirdly, this disclosure provides a network selection method, which is executed by a core network device. The method includes: sending first information to a terminal, the first information being used to indicate information related to the AI ​​capabilities of the network, and the first information being used by the terminal to select a network that meets the AI ​​capability requirements of the terminal.

[0087] In the above embodiments, by sending first information to the terminal from the core network device, the first information is used to indicate information related to the AI ​​capabilities of the network, so that the terminal can select a network that meets the terminal's AI capability requirements based on the first information, thereby effectively avoiding the terminal from selecting a network that does not support the terminal's AI capability requirements when selecting a network.

[0088] In conjunction with some embodiments of the third aspect, in some embodiments, sending the first information to the terminal includes: sending a NAS message to the terminal, the NAS message including the first information.

[0089] In conjunction with some embodiments of the third aspect, in some embodiments, the first information is determined by at least one of the following methods: determined by a first network element in the core network device based on information provided by an access network device; determined by a first network element in the core network device based on information provided by an AI entity; determined by a first network element in the core network device based on information provided by a second network element in the core network device; or determined by a first network element in the core network device based on information provided by a server.

[0090] In the above embodiments, multiple optional implementations of the core network device determining the first information are provided, so that the core network device can determine the first information in multiple ways, thereby improving the flexibility of the first information determination process.

[0091] In conjunction with some embodiments of the third aspect, in some embodiments, the first information includes network identification information and / or network AI capability information.

[0092] In conjunction with some embodiments of the third aspect, in some embodiments, the AI ​​capability information of the network includes at least one of the following: first indication information, which indicates whether the network supports AI capabilities; second indication information, which indicates whether the network supports AI capability sharing; third indication information, which indicates the AI ​​capability sharing mode supported by the network; fourth indication information, which indicates the AI ​​services supported by the network; fifth indication information, which indicates the AI ​​use cases supported by the network; and sixth indication information, which indicates the AI ​​resources supported by the network.

[0093] In some embodiments combined with the third aspect, in some embodiments, the AI capability sharing mode comprises at least one of the following: sharing AI capability by the terminal to the network; sharing AI capability by the network to the terminal; sharing AI capability between terminals.

[0094] In some embodiments combined with the third aspect, in some embodiments, the AI service comprises at least one of the following: AI model training service; AI model inference service; AI model verification service; AI model data service.

[0095] In some embodiments combined with the third aspect, in some embodiments, the AI use case comprises at least one of the following: AI use case based on AI positioning; AI use case based on AI beam management.

[0096] In some embodiments combined with the third aspect, in some embodiments, the AI resource comprises at least one of the following: AI computing resource; AI algorithm resource; AI data resource; AI connection resource.

[0097] In some embodiments combined with the third aspect, in some embodiments, the AI capability information of the network further comprises seventh indication information, the seventh indication information being used to indicate AI capability action range of the network; wherein, the AI capability action range comprises time range and / or area range.

[0098] In some embodiments combined with the third aspect, in some embodiments, there are multiple networks, and the method further comprises: configuring priority information of the multiple networks for the terminal.

[0099] In the above embodiments, in the case where there are multiple networks, the priority information of the multiple networks is configured for the terminal by the core network device, so that the terminal can obtain the priority information of the multiple networks, thereby realizing network selection based on the priority information of the multiple networks.

[0100] In some embodiments combined with the third aspect, in some embodiments, the network comprises at least one of the following: PLMN; PNI-NPN; SNPN.

[0101] In a fourth aspect, the embodiments of the present disclosure provide a terminal, comprising: a processing module configured to select a network satisfying artificial intelligence (AI) capability requirement of the terminal based on first information, the first information being used to indicate information related to AI capability of the network.

[0102] In a fifth aspect, the embodiments of the present disclosure provide an access network device, comprising: a transceiver module configured to send first information to a terminal, the first information being used to indicate information related to AI capability of the network, and the first information also being used for the terminal to select a network satisfying AI capability requirement of the terminal.

[0103] In a sixth aspect, an embodiment of the present disclosure provides a core network device, comprising: a transceiver configured to send first information to a terminal, the first information being used to indicate information related to AI capability of a network, and the first information also being used for the terminal to select a network satisfying AI capability requirement of the terminal.

[0104] In a seventh aspect, an embodiment of the present disclosure provides a terminal, comprising: one or more processors; wherein the terminal is configured to perform the network selection method according to the first aspect and any one of the embodiments of the first aspect.

[0105] In an eighth aspect, an embodiment of the present disclosure provides an access network device, comprising: one or more processors; wherein the access network device is configured to perform the network selection method according to the second aspect and any one of the embodiments of the second aspect.

[0106] In a ninth aspect, an embodiment of the present disclosure provides a core network device, comprising: one or more processors; wherein the core network device is configured to perform the network selection method according to the third aspect and any one of the embodiments of the third aspect.

[0107] In a tenth aspect, an embodiment of the present disclosure provides a communication system, comprising a terminal and a network device, the network device comprising an access network device and / or a core network device, wherein the terminal is configured to implement the network selection method according to the first aspect and any one of the embodiments of the first aspect, the access network device is configured to implement the network selection method according to the second aspect and any one of the embodiments of the second aspect, and the core network device is configured to implement the network selection method according to the third aspect and any one of the embodiments of the third aspect.

[0108] In an eleventh aspect, an embodiment of the present disclosure provides a storage medium, the storage medium storing instructions, when the instructions are executed on a communication device, causing the communication device to perform the network selection method according to the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect, or the third aspect and any one of the embodiments of the third aspect.

[0109] In a twelfth aspect, an embodiment of the present disclosure provides a program product, when the program product is executed by a communication device, causing the communication device to perform the network selection method according to the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect, or the third aspect and any one of the embodiments of the third aspect.

[0110] In a thirteenth aspect, the embodiments of the present disclosure provide a computer program which, when running on a computer, causes the computer to perform the network selection method according to the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect, the third aspect and any one of the embodiments of the third aspect.

[0111] In a fourteenth aspect, the embodiments of the present disclosure provide a chip or chip system. The chip or chip system comprises processing circuitry configured to perform the network selection method according to the first aspect and any one of the embodiments of the first aspect, the second aspect and any one of the embodiments of the second aspect, the third aspect and any one of the embodiments of the third aspect.

[0112] It can be understood that the terminal, the access network device, the core network device, the communication system, the storage medium, the program product, the computer program, the chip or the chip system are all used to perform the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method, which will not be described here.

[0113] The embodiments of the present disclosure propose a network selection method and device, a storage medium. In some embodiments, the terms of network selection method, information processing method, and communication method can be replaced with each other, the terms of network selection device, information processing device, and communication device can be replaced with each other, and the terms of information processing system and communication system can be replaced with each other.

[0114] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing some steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, the steps of different embodiments or part or all of the steps of different embodiments can be combined arbitrarily, an embodiment can be combined with the optional implementation manners of other embodiments.

[0115] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form a new embodiment according to their inherent logical relationship.

[0116] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments, and not as a limitation on the present disclosure.

[0117] In the embodiments of the present disclosure, an element expressed in singular form, such as "a", "an", "the", "said", "the aforementioned", "the foregoing", "this", and the like, unless otherwise specified, can represent "one and only one", or can represent "one or more", "at least one", and the like. For example, in the case of using an article such as "a", "an", "the" in English, the noun after the article can be understood as a singular expression, or can be understood as a plural expression.

[0118] In the embodiments of the present disclosure, "plurality" refers to two or more.

[0119] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple", and the like can be replaced with each other.

[0120] In some embodiments, the description modes such as "at least one of A, B", "A and / or B", "A in one case and B in another case", "in response to a case A, in response to a case B", and the like can include the following technical solutions according to the case: in some embodiments, A is executed regardless of B; in some embodiments, B is executed regardless of A; in some embodiments, A and B are selectively executed from A and B; in some embodiments, A and B are executed (A and B are both executed). When there are more branches such as A, B, C, and the like, it is similar to the above.

[0121] In some embodiments, the description modes such as "A or B" and the like can include the following technical solutions according to the case: in some embodiments, A is executed regardless of B; in some embodiments, B is executed regardless of A; in some embodiments, A and B are selectively executed from A and B; when there are more branches such as A, B, C, and the like, it is similar to the above.

[0122] The prefix words of "first", "second" and the like in the embodiments of the present disclosure are merely used to distinguish different description objects, and do not constitute limitation on the position, order, priority, quantity or content of the description objects. The description objects are described in the claims or embodiments, and should not be construed as redundant limitation because of the use of the prefix words. For example, the description object is "field", and the ordinal words before "field" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified thereby are in the same message or not, nor limit the order of "first field" and "second field". For another example, the description object is "level", and the ordinal words before "level" in "first level" and "second level" do not limit the priority between "levels". For another example, the quantity of the description object is not limited by the ordinal words, and can be one or more. For example, "first device", wherein the quantity of "device" can be one or more. In addition, the objects modified by different prefix words can be the same or different, for example, the description object is "device", and "first device" and "second device" can be the same device or different devices, and the types thereof can be the same or different. For another example, the description object is "information", and "first information" and "second information" can be the same information or different information, and the contents thereof can be the same or different.

[0123] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0124] In some embodiments, the terms of "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0125] In some embodiments, the terms of "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above" and the like can be replaced with each other, and the terms of "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below" and the like can be replaced with each other.

[0126] In some embodiments, the apparatuses and devices can be interpreted as entities, and also as virtual, whose names are not limited to the names described in the embodiments, and in some cases can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", and the like.

[0127] In some embodiments, "network" can be interpreted as an apparatus contained in the network, for example, an access network device, a core network device, and the like.

[0128] In some embodiments, "access network device (AN device)" can also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments can also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", and the like.

[0129] In some embodiments, a "terminal" or "terminal device" can be referred to as a "user equipment" (UE), a "user terminal," a "mobile station" (MS), a "mobile terminal" (MT), a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, and / or the like.

[0130] In some embodiments, data, information and / or the like can be obtained in compliance with laws and regulations of a country where the data, information and / or the like is obtained.

[0131] In some embodiments, data, information and / or the like can be obtained after obtaining consent of a user.

[0132] In addition, each element, each row, or each column in a table of embodiments of the present disclosure can be implemented as an independent embodiment, and a combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0133] FIG. 1 is an architecture diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102.

[0134] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable automobile, a smart automobile, a tablet (Pad), a wireless-transmitting computer, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, a wireless terminal device in a smart home, and the like, but is not limited thereto.

[0135] In some embodiments, the network device 102 includes at least one of an access network device and a core network device.

[0136] In some embodiments, the access network device is at least one of a node or a device that accesses a terminal to a wireless network, for example, and can include at least one of an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open RAN, a Cloud RAN, a base station in other communication systems, an access node in a Wi-Fi system, and the like, but is not limited thereto.

[0137] In some embodiments, the technical solutions of the present disclosure can be applicable to an Open RAN architecture, at this time, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0138] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the access network device, and some of the protocol layers are controlled by the CU, and the rest or all of the protocol layers are distributed in the DU and controlled by the CU, but not limited thereto.

[0139] In some embodiments, the core network device can be one device including multiple network elements, etc., or can be multiple devices or device groups, each including all or part of multiple network elements. The network element can be virtual or physical. The core network includes at least one of an evolved packet core (EPC), a 5G core network (5GCN), and a next-generation core (NGC), for example.

[0140] In some embodiments, the core network device can include a first network element, which is an access and mobility management function (AMF), for example.

[0141] In some embodiments, the first network element is used for access management and mobility management of users, but is not limited thereto.

[0142] In some embodiments, the core network device can include a second network element.

[0143] In some embodiments, the second network element is a session management function (SMF), for example, and is used for session management of the control plane and the user plane, but is not limited thereto.

[0144] In some embodiments, the second network element is a user plane function (UPF), for example, and is used for data forwarding, traffic statistics, quality of service (QoS) management, etc. of the user plane, but is not limited thereto.

[0145] In some embodiments, the second network element is, for example, a Policy Control Function (PCF), and the second network element is configured to implement control policy management of a user, including but not limited to control of QoS, access control of services, and the like.

[0146] In some embodiments, the second network element is, for example, a Unified Data Management (UDM), and the second network element is configured to implement subscription data management of a user, control of roaming, and the like, but is not limited thereto.

[0147] In some embodiments, the second network element is, for example, an Authentication Server Function (AUSF), and the second network element is configured to implement identity authentication of a user, but is not limited thereto.

[0148] In some embodiments, each of the network elements described above can be independent of the core network device.

[0149] In some embodiments, each of the network elements described above can be part of the core network device.

[0150] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed by the embodiments of the present disclosure. It can be known by those skilled in the art that, with the evolution of system architecture and the appearance of new service scenarios, the technical solutions proposed by the embodiments of the present disclosure are also applicable to similar technical problems.

[0151] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subject, but are not limited thereto. The subjects shown in FIG. 1 are examples, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than those in FIG. 1. The number and form of each subject is arbitrary, each subject can be real or virtual, the connection relationship between each subject is an example, each subject can not be connected or can be connected, and the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0152] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based thereon, and the like. In addition, a plurality of systems can be combined (for example, combination of LTE or LTE-A and 5G, and the like).

[0153] A 6G network can provide ubiquitous intelligent services. 6G AI as a service is to build efficient, energy-saving, and secure distributed AI services through resources and functions within the network, including a 6G core network, a 6G wireless network, and a 6G terminal.

[0154] In a 6G network, a terminal can select a suitable network through network selection and perform cell selection within the suitable network to select a suitable cell to camp on, so as to subsequently initiate a radio resource control (RRC) connection and a service request.

[0155] In some embodiments, network selection can be assisted by access stratum (AS) auxiliary measurement, and selection can be performed by non-access stratum (NAS) to select a network in a public land mobile network (PLMN), a stand-alone non-public network (SNPN), or a closed access group (CAG) list.

[0156] In some embodiments, the NAS sends indication information indicating that the AS performs measurement reporting, and the NAS performs network selection in an automatic or manual manner based on the reporting information of the AS; and the NAS indicates auxiliary control information to the AS after selection, for subsequent cell selection of the terminal (or UE). The auxiliary control information can include a selected (selected) PLMN, an equivalent PLMN, a forbidden PLMN, a tracking area (TA) list, a PLMN associated radio access technology (RAT), and the like.

[0157] In some embodiments, the terminal can perform network selection when at least one of the following conditions is met:

[0158] Powering on or losing coverage;

[0159] Periodically searching for a high-priority network;

[0160] The terminal reselects a network.

[0161] In some embodiments, with prior information, the NAS can instruct the AS to perform network search according to the prior information saved in the universal subscriber identity module (USIM) of the terminal, and the AS reports available network identifiers to the NAS for decision. Alternatively, the AS can identify the information in the system information block 1 (SIB1) to obtain the available network identifier, and report the available network identifier to the NAS.

[0162] In some embodiments, without prior information, the AS can perform full band search to search for the strongest cell report network identification to the NAS, and the NAS performs network selection and decides whether to continue the subsequent communication process. Alternatively, the AS can report the network identification of the strongest cell to the NAS through SIB1.

[0163] In some embodiments, if the terminal is in non-SNPN access mode, the AS can report the available PLMN and its related CAG identity (ID) to the NAS according to the request of the NAS or autonomously.

[0164] In some embodiments, if the terminal is in SNPN access mode, the AS can report the available SNPN to the NAS according to the request of the NAS or autonomously. In the SNPN selection process, the NAS can automatically or manually select according to the SNPN ID reported by the AS.

[0165] In some embodiments, the terminal can receive a system message in a given cell to receive one or more SNPN IDs through the system message. Alternatively, the system message can also carry the following information:

[0166] Associated hypergraph recurrent neural network (HRNN);

[0167] Whether the SNPN allows access using credentials from a credentials holder;

[0168] Whether the SNPN allows registration attempts by terminals that are not explicitly configured to select this SNPN;

[0169] Whether the SNPN allows onboarding;

[0170] Group ID supporting network selection.

[0171] In some embodiments, there can be different AI deployment methods in the 6G network, and different networks may have different support for AI. For example, there can be networks that support AI and networks that do not support AI, or even if all networks support AI, the AI services or AI resources supported by different networks can be different. Therefore, in the 6G network, if an inappropriate network is selected, the AI needs of the terminal may not be supported.

[0172] FIG. 2A is an interaction diagram of a network selection method according to an embodiment of the present disclosure. As shown in FIG. 2A, the embodiment of the present disclosure relates to a network selection method, and the method comprises:

[0173] In step S2101, the access network device sends first information to the terminal.

[0174] In some embodiments, the terminal (i.e., UE) receives the first information sent by the access network device.

[0175] In some embodiments, the access network device (e.g., NG-RAN) can send a system message to the terminal, and the system message includes the first information.

[0176] In some embodiments, the terminal can receive the system message sent by the access network device to achieve the reception of the first information.

[0177] In some embodiments, the system message sent by the access network device can be received by the UE AS to achieve the reception of the first information by the terminal.

[0178] In some embodiments, the system message can be a master information block (MIB), an existing system information block (SIB), a newly defined SIB, etc., but is not limited thereto.

[0179] In some embodiments, the first information is used to indicate information related to the AI capability of the network (NW).

[0180] In some embodiments, the network can include a public land mobile network (PLMN), a public network integrated non-public network (PNI-NPN), a stand-alone non-public network (SNPN), etc., but is not limited thereto.

[0181] In some embodiments, each network can include an access network part and a core network part.

[0182] In some embodiments, the AI capability of the network includes at least one of AI resources, AI services, and AI use cases that the network can provide, but is not limited thereto.

[0183] In some embodiments, the AI capability of the network can include at least one of AI resources, AI services, AI use cases that can be provided by the access network part of the network, but is not limited thereto; in addition, the AI capability of the network can also include at least one of AI resources, AI services, AI use cases that can be provided by the core network part of the network, but is not limited thereto.

[0184] In some embodiments, the access network device can provide the terminal with first information for indicating the AI capability of the access network part of the network; or the first information for indicating the AI capability of the core network part of the network can be provided by the core network device to the access network device, so as to be provided by the access network device to the terminal for indicating the AI capability of the core network part of the network; or the first information for indicating the AI capability of the core network part of the network can be provided by the core network device to the access network device, so as to be provided by the access network device to the terminal for indicating the AI capability of the access network part and the core network part of the network.

[0185] In some embodiments, the name of the first information is not limited, which is, for example, “AI capability information”, “AI capability indication”, “network AI capability information”, “capability information”, “capability indication”, “capability indication information”, “network AI capability related information”, etc.

[0186] In some embodiments, the first information includes network identification information and / or AI capability information of the network.

[0187] In some embodiments, the network identification information can include at least one of SNPN ID, PNI-NPN ID, network identifier (NID), PLMN ID, closed access group (CAG) ID.

[0188] For example, the network is a PLMN, and the network identification information can be a PLMN ID; the network is a PNI-NPN, and the network identification information can be a PNI-NPN ID, a CAG ID, or a PLMN ID+CAG ID; the network is a SNPN, and the network identification information can be a SNPN ID, a NID, or a PLMN ID+NID, but is not limited thereto.

[0189] In some embodiments, the AI capability information of the network includes at least one of first indication information, second indication information, third indication information, fourth indication information, fifth indication information, and sixth indication information.

[0190] In some embodiments, the first indication information is used to indicate whether the network supports AI capability.

[0191] In some embodiments, the name of the first indication information is not limited, which is, for example, "first capability indication", "first capability information".

[0192] In some embodiments, the second indication information is used to indicate whether the network supports AI capability sharing.

[0193] In some embodiments, the name of the second indication information is not limited, which is, for example, "second capability indication", "second capability information", and the like.

[0194] In some embodiments, the third indication information is used to indicate the AI capability sharing mode supported by the network.

[0195] In some embodiments, the AI capability sharing mode includes at least one of sharing AI capability by a terminal (or called UE) to the network, sharing AI capability by the network to the terminal, and sharing AI capability among terminals, but is not limited thereto.

[0196] In some embodiments, the name of the third indication information is not limited, which is, for example, "third capability indication", "third capability information", and the like.

[0197] In some embodiments, the fourth indication information is used to indicate the AI service supported by the network.

[0198] In some embodiments, the AI service includes at least one of AI model training service, AI model inference service, AI model verification service, and AI model data service, but is not limited thereto.

[0199] In some embodiments, the name of the fourth indication information is not limited, which is, for example, "fourth capability indication", "fourth capability information", and the like.

[0200] In some embodiments, the fifth indication information is used to indicate the AI use case supported by the network.

[0201] In some embodiments, the AI use case includes AI use case based on AI positioning and / or AI use case based on AI beam management, but is not limited thereto.

[0202] In some embodiments, the name of the fifth indication information is not limited, which is, for example, "fifth capability indication", "fifth capability information", and the like.

[0203] In some embodiments, the sixth indication information is used to indicate the AI resource supported by the network.

[0204] In some embodiments, the AI resource includes at least one of AI computing resource, AI algorithm resource, AI data resource, and AI connection resource, but is not limited thereto.

[0205] In some embodiments, the name of the AI algorithm resource is not limited, which is, for example, an "AI model resource" and the like.

[0206] In some embodiments, the name of the sixth indication information is not limited, which is, for example, a "sixth capability indication", a "sixth capability information" and the like.

[0207] In some embodiments, the first information further includes seventh indication information.

[0208] In some embodiments, the seventh indication information is used to indicate an AI capability action range of the network, and the AI capability action range includes a time range and / or a region range.

[0209] In some embodiments, the terms "time", "time point", "time position" and the like can be replaced with each other, and the terms "time length", "time period", "time window" and "window" can be replaced with each other.

[0210] In some embodiments, the seventh indication information is used to indicate an AI capability effective action range of the network, that is, the seventh indication information is used to indicate a range of supporting the AI capability of the network; or the seventh indication information is used to indicate an AI capability invalid action range of the network, that is, the seventh indication information is used to indicate a range of not supporting the AI capability of the network. The action range can be a time range and / or a region range.

[0211] In some embodiments, the region range can be a cell level, a tracking area (TA) level, a register area (RA) level, an AI service area or a geographical location area, but is not limited thereto.

[0212] In some embodiments, the terms "cell", "component carrier (CC)", "frequency carrier" and "carrier frequency" can be replaced with each other.

[0213] In some embodiments, the name of the seventh indication information is not limited, which is, for example, a "seventh capability indication", a "seventh capability information" and an "AI capability action range".

[0214] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and the terms of "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "code point", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0215] In step S2102, the terminal selects a network satisfying the AI capability requirement of the terminal based on the first information.

[0216] In some embodiments, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in a case where the state of the terminal satisfies the network selection condition.

[0217] In some embodiments, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in a case where the priority of the network is higher than the priority of the network currently accessed by the terminal. The priority of the network can be an absolute priority of the network, the priority of the network can be agreed by a protocol, or the priority of the network can be pre-configured to the terminal, or the priority of the network can be configured to the terminal by the network device.

[0218] In some embodiments, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in a case where the first period is satisfied. Alternatively, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in a case where the current time satisfies the first period. For example, the terminal can periodically select a network satisfying the AI capability requirement of the terminal, and the terminal can maintain a timer, reset the timer after each selection is completed, and the duration of the timer is the period duration of the first period, so that the next network selection based on the first information can be triggered when the timer expires.

[0219] The period duration of the first period is specific to the process of selecting a network satisfying the AI capability requirement of the terminal, that is, the period duration of the first period corresponding to different network selection processes can be different.

[0220] In some embodiments, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in a case where the currently accessed network does not satisfy the AI capability requirement of the terminal.

[0221] In some embodiments, the terminal can preferentially select a network satisfying the AI capability requirement of the terminal according to the first information and the AI capability requirement of the terminal.

[0222] In some embodiments, the AI capability requirement of the terminal can include an AI capability requirement of the terminal for an access network and / or an AI capability requirement of the terminal for a core network.

[0223] In some embodiments, the terminal can preferentially select a network whose AI capability of an access network part is able to satisfy the AI capability requirement of the terminal for the access network according to the AI capability of the access network part of the network indicated by the first information and the AI capability requirement of the terminal for the access network.

[0224] In some embodiments, the terminal can preferentially select a network whose AI capability of a core network part is able to satisfy the AI capability requirement of the terminal for the core network according to the AI capability of the core network part of the network indicated by the first information and the AI capability requirement of the terminal for the core network.

[0225] In some embodiments, the terminal can preferentially select a network whose AI capability of an access network part and AI capability of a core network part are both able to satisfy the AI capability requirement of the terminal according to the AI capability of the access network part and the AI capability of the core network part of the network indicated by the first information and the AI capability requirement of the terminal for the access network and the core network.

[0226] In some embodiments, the AI capability requirement of the terminal can be used to indicate at least one of whether the terminal supports an AI capability, whether the terminal supports AI capability sharing, whether the terminal supports a specific AI capability sharing mode, whether the terminal supports a specific AI service, whether the terminal supports a specific AI use case, whether the terminal supports a specific AI resource, but is not limited thereto.

[0227] In some embodiments, the AI capability requirement of the terminal can be used to indicate at least one of whether the terminal has a requirement for whether the network supports an AI capability, whether the network supports AI capability sharing, whether the network supports a specific AI capability sharing mode, whether the network supports a specific AI service, whether the network supports a specific AI use case, whether the network supports a specific AI resource, but is not limited thereto.

[0228] In some embodiments, the AI capability requirement of the terminal corresponds to an AI access mode required by the terminal, which can be a newly defined AI access mode, but is not limited thereto. Optionally, the UE NAS can indicate the AI access mode required by the terminal to the UE AS, and the UE AS can determine the network identity of the network supporting the AI access mode required by the terminal, and provide the determined network identity to the UE NAS for network selection by the UE NAS. Optionally, in addition to providing the network identity of the network supporting the AI access mode required by the terminal to the UE NAS, the UE AS can also provide information such as AI access capability of the network supporting the AI access mode required by the terminal to the NAS to assist the UE NAS in network selection.

[0229] In some embodiments, the AI capability requirement of the terminal is determined by the terminal. Optionally, the AI capability requirement of the terminal can be determined by the terminal through NAS (i.e., UE NAS), or the AI capability requirement of the terminal can be determined by the terminal through AS (i.e., UE AS).

[0230] In some embodiments, the AI capability requirement of the terminal is determined by the UE NAS, for example, in the scenario of network serving AI (i.e., network for AI, NET4AI), the AI capability requirement of the terminal can be determined by the UE NAS. Wherein, the NET4AI includes, for example, but is not limited to, providing native integrated communication, computing and perception capabilities through 6G network elements to accelerate the evolution of centralized intelligence on the cloud to deep edge ubiquitous intelligence, and providing distributed learning infrastructure for AI.

[0231] In some embodiments, after determining the AI capability requirement of the terminal, the UE NAS can provide the determined AI capability requirement to the UE AS to assist the UE AS in performing cell search, so that the UE AS reports the cell search result to the UE NAS for network selection by the UE NAS.

[0232] In some embodiments, the AI capability requirement of the terminal is determined by the UE AS, for example, in the scenario of AI serving network (i.e., AI for network, AI4NET), the AI capability requirement of the terminal can be determined by the UE AS. Wherein, the AI4NET includes, for example, but is not limited to, utilizing end-to-end AI to realize customized optimization and automated operation and maintenance of air interface and network to provide optimal solutions that meet diverse needs.

[0233] In some embodiments, after determining the AI capability requirement of the terminal, the UE AS can provide the determined AI capability requirement to the UE NAS to assist the UE NAS in network selection.

[0234] In some embodiments, if there are multiple AI capability requirements of the terminal, the terminal can also determine the priorities of the multiple AI capability requirements, for prioritizing the AI capability requirements with high priorities in case all AI capability requirements of the terminal cannot be met.

[0235] In some embodiments, the terminal can determine the priorities of the multiple AI capability requirements based on internal implementation of the terminal, or the terminal can determine the priorities of the multiple AI capability requirements according to protocol agreement, or the terminal can determine the priorities of the multiple AI capability requirements according to network configuration, for example, the priorities of the multiple AI capability requirements can be sent to the terminal by a core network device (such as a network element in the core network device, a core network function node, etc.) through NAS signaling, or the priorities of the multiple AI capability requirements can be sent to the terminal by an access network device (such as a base station) through AS signaling, but not limited thereto.

[0236] In some embodiments, there are multiple networks capable of meeting the AI capability requirements of the terminal, and the terminal can select one network from the multiple networks as the network to be accessed.

[0237] In some embodiments, the terminal can select the network with the highest priority from the multiple networks based on the priority information of the multiple networks.

[0238] In some embodiments, the priority information can be configured for the terminal by an access network device, or the priority information can be configured for the terminal by a core network device, or the priority information can be predefined or preconfigured for the terminal.

[0239] In some embodiments, the terminal can select the network with the best cell signal quality from the multiple networks based on the cell signal quality of the multiple networks.

[0240] In some embodiments, the terminal can select one network from the multiple networks based on the network selection strategy of the terminal.

[0241] The network selection method provided by the embodiments of the present disclosure is further described below with a specific example.

[0242] In some embodiments, the AI capability requirements of the terminal can be provided to UE AS by an access network device, in which case the terminal can perform cell search based on the AI capability requirements of the terminal received by UE AS to obtain cell information of the first cell on each frequency point in the network, so as to select the network meeting the AI capability requirements of the terminal based on the cell information of the first cell on each frequency point in the network.

[0243] In some embodiments, the terminal can autonomously or in response to receiving a corresponding request trigger cell search for network selection. For example, the UE AS can autonomously or in response to receiving a NAS request trigger cell search for network selection. In some embodiments, the request for triggering cell search can include indication information for indicating the AI capability requirement of the terminal.

[0244] In some embodiments, the UE AS can perform cell search based on the AI capability requirement of the terminal to determine the first cell on each frequency point in the network through cell search, obtain the cell information of the first cell, and report the obtained cell information of the first cell to the UE NAS for network selection by the UE NAS.

[0245] In some embodiments, the first cell can be the strongest cell on the frequency point, but is not limited thereto.

[0246] In some embodiments, the cell information of the first cell can be obtained by reading the system message of the first cell.

[0247] In some embodiments, the cell information includes at least one of the identification information of the network to which the cell belongs, the network AI capability of the cell, and the signal quality of the cell, but is not limited thereto.

[0248] In some embodiments, the network to which the cell belongs can be a PLMN, a PNI-NPN, a SNPN, etc., and accordingly, the identification information of the network to which the cell belongs can be a PLMN ID, a PNI-NPN ID (such as a CAG ID or a PLMN ID+CAG ID), a SNPN ID (such as a Network Identifier (NID) or a PLMN ID+NID), etc., but is not limited thereto.

[0249] In some embodiments, when reporting the cell information of the first cell to the UE NAS, the UE AS can only report the cell information of the first cell that meets the AI capability requirement of the terminal, and optionally, if the UE AS only reports the cell information of the first cell that meets the AI capability requirement of the terminal, the network AI capability of the cell can not be indicated. Alternatively, if the network AI capability exceeds an AI capability threshold, for example, the AI computing resource of the first cell exceeds a computing resource threshold or the first cell can support all AI services, the network AI capability of the first cell can also not be indicated. The AI capability threshold can be configured by an access network device or a core network device for the terminal, or can be agreed by a protocol, but is not limited thereto.

[0250] In some embodiments, the signal quality can include at least one of a reference signal received power (RSRP), a reference signal received quality (RSRQ), but is not limited thereto.

[0251] In some embodiments, the terms of "reference signal (RS)", "synchronization signal (SS)", "synchronization signal block (SSB)", "pilot", "pilot signal", and the like can be replaced with each other.

[0252] In some embodiments, the UE AS can not report the signal quality of the cell if the signal quality of the cell exceeds a signal quality threshold. The signal quality threshold can be a common signal quality threshold, or a signal quality threshold dedicated to AI services, i.e., different services can share the same signal quality threshold, or a specific signal quality threshold configured for AI services. Alternatively, the signal quality threshold can be configured by the access network device or the core network device for the terminal, or be agreed by a protocol, but is not limited thereto.

[0253] In some embodiments, if there are multiple networks, the UE AS can indicate the priority of the multiple networks to the UE NAS in an explicit or implicit manner to assist the UE NAS in network selection when the UE NAS reports the cell information of the first cell to the UE NAS.

[0254] In some embodiments, the UE AS can directly indicate the priority of the multiple networks to the UE NAS to achieve the purpose of indicating the network priority to the UE NAS in an explicit manner, or the UE AS can indicate the priority of the multiple networks in the form of a list, and the network with higher priority is located at the front of the list to achieve the purpose of indicating the network priority to the UE NAS in an implicit manner.

[0255] In some embodiments, the priority of the multiple networks can be determined according to the signal quality of the cells in the networks, or the priority of the multiple networks can be determined according to the inclination of the terminal, but is not limited thereto.

[0256] The above embodiments are described by taking the UE AS knowing the AI capability requirement of the terminal as an example. In this case, the cell information reported by the UE AS to the UE NAS can include only the related information of the cell in the searched first cell that meets the AI capability requirement of the terminal, and can also include the cell related information of all the searched first cells.

[0257] In more possible implementations, the UE AS can also perform cell search without knowing the AI capability requirement of the terminal. In this case, the UE AS can report the cell related information of all the searched first cells to the UE NAS.

[0258] In some embodiments, the UE NAS can perform network selection based on the cell information reported by the UE AS and the AI capability requirement of the terminal, and indicate the result to the UE AS for subsequent cell selection or cell reselection by the UE AS.

[0259] In some embodiments, in addition to implementing network selection based on the cell information reported by the UE AS and the AI capability requirement of the terminal, the UE NAS can also implement network selection in combination with the network selection strategy and configuration of the UE NAS, but is not limited thereto.

[0260] In some embodiments, “obtain”, “get”, “receive”, “transmit”, “bidirectional transmission”, “send and / or receive” can be replaced with each other, which can be interpreted as receiving from other subjects, obtaining from protocols, obtaining from higher layers, processing to obtain, implementing autonomously, and the like.

[0261] In some embodiments, the terms “send”, “transmit”, “report”, “issue”, “transmit”, “bidirectional transmission”, “send and / or receive” can be replaced with each other.

[0262] In some embodiments, the terms “certain”, “preseted”, “preset”, “set”, “indicated”, “certain”, “arbitrary”, “first” and the like can be replaced with each other. “Certain A”, “preset A”, “preset A”, “set A”, “indicated A”, “certain A”, “arbitrary A”, “first A” can be interpreted as A specified in advance in protocols and the like, can also be interpreted as A obtained by setting, configuring, or indicating, and can also be interpreted as certain A, certain A, arbitrary A, or first A, but is not limited thereto.

[0263] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.

[0264] In some embodiments, "not expecting to receive" can be interpreted as not receiving on the time domain resource and / or the frequency domain resource, or as not performing subsequent processing on the data, etc. after receiving the data, etc.; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the content of the sending.

[0265] The network selection method related to the embodiments of the present disclosure can include at least one of step S2101 to step S2102. For example, step S2101 can be implemented as an independent embodiment, step S2102 can be implemented as an independent embodiment, step S2101+S2102 can be implemented as an independent embodiment, but is not limited thereto.

[0266] In some embodiments, step S2101 is optional, and can be omitted or replaced in different embodiments.

[0267] In some embodiments, step S2102 is optional, and can be omitted or replaced in different embodiments.

[0268] FIG. 2B is an interaction schematic diagram of a network selection method according to an embodiment of the present disclosure. As shown in FIG. 2B, the embodiments of the present disclosure relate to a network selection method, and the above method includes:

[0269] In step S2201, the core network device sends first information to the terminal.

[0270] In some embodiments, the terminal receives the first information sent by the core network device.

[0271] In some embodiments, the first information can be sent to the terminal by the first network element of the core network device.

[0272] In some embodiments, the terminal can receive the first information sent by the first network element of the core network device.

[0273] In some embodiments, the first information can be sent to the terminal by the first network element of the core network device.

[0274] In some embodiments, the terminal can receive the NAS message sent by the first network element of the core network device to achieve the reception of the first information.

[0275] In some embodiments, the first network element of the core network device can provide the first information to the terminal through a NAS message in an initial registration process; or, the first network element of the core network device can provide the first information to the terminal through a NAS message in a subscriber roaming (SOR) process, but is not limited thereto.

[0276] In some embodiments, the first information can be provided to the UE NAS by the first network element of the core network device to achieve the acquisition of the first information by the terminal.

[0277] In some embodiments, the first information can be determined by the first network element based on information provided by an access network device (such as NG-RAN), or the first information can be determined by the first network element based on information provided by an AI entity, or the first information can be determined by the first network element based on information provided by a second network element in the core network device, or the first information can be determined by the first network element based on information provided by a server node.

[0278] In some embodiments, the first network element can be an AMF node, and the second network element can be an SMF, a UPF, a PCF, a UDM, an AUSF, or other core network function nodes, etc., which are not limited in the embodiments of the present disclosure.

[0279] In some embodiments, the core network device can provide the first information for indicating the AI capability of the core network part of the network for the terminal; or, the first information for indicating the AI capability of the access network part of the network can be provided by the access network device to the core network device, so as to be provided by the core network device for the terminal for indicating the AI capability of the access network part of the network; or, the first information for indicating the AI capability of the access network part and the core network part of the network can be provided by the access network device to the core network device, so as to be provided by the core network device for the terminal for indicating the AI capability of the access network part and the core network part of the network.

[0280] It should be noted that the terminal can achieve the information interaction with the core network device through step S2201 in a case that the terminal has established a connection with the core network device. For example, the terminal can achieve the information interaction with the core network device through step S2201 when performing cell handover, so as to receive the first information sent by the core network device.

[0281] It should be noted that the terminal can achieve the information interaction with the core network device through step S2201 in a case that the terminal has established a connection with the core network device. For example, the terminal can achieve the information interaction with the core network device through step S2201 when performing cell handover, so as to receive the first information sent by the core network device.

[0282] In step S2202, the terminal selects a network satisfying the AI capability requirement of the terminal based on the first information.

[0283] In some embodiments, the terminal can select a network satisfying the AI capability requirement of the terminal based on the first information in the case that the terminal meets a certain condition. The possible first condition can be described with reference to step S2102, which will not be repeated here.

[0284] It should be noted that the implementation of the terminal selecting a network satisfying the AI capability requirement of the terminal based on the first information and the AI capability requirement of the terminal can be described with reference to step S2102, which will not be repeated here.

[0285] The network selection method provided by the embodiments of the present disclosure will be further described below with a specific example.

[0286] In some embodiments, the first information can be provided to the UE NAS by the first network element of the core network device, in which case, the network selection can be triggered by the UE NAS, so that the UE NAS can determine the network satisfying the AI capability requirement of the terminal based on the first information received by the UE NAS, and provide the network satisfying the AI capability requirement of the terminal to the UE AS for cell search by the UE AS.

[0287] In some embodiments, the UE NAS can trigger the network selection in the case of user starting, periodic search of high-priority network, current network not supporting the AI capability requirement of the terminal, etc.

[0288] In some embodiments, the UE NAS can only provide the network identification information satisfying the AI capability requirement of the terminal for cell search by the UE AS. Alternatively, if the UE AS does not search for a suitable cell, the UE AS can instruct the UE NAS to fall back to the traditional network selection process, and the UE NAS can select a network not supporting the AI capability requirement of the terminal and instruct the UE AS to continue cell search.

[0289] In some embodiments, the UE NAS can also provide the network identification information satisfying the AI capability requirement of the terminal and not satisfying the AI capability requirement of the terminal for cell search by the UE AS, and the UE AS can preferentially search for a cell under the network satisfying the AI requirement of the terminal, and if no cell is searched under the network satisfying the AI requirement of the terminal, continue to search for a cell under the network not satisfying the AI requirement of the terminal.

[0290] In some embodiments, when the UE NAS provides the network identification information to the AS, if there are multiple networks, the UE NAS can indicate the priority of the multiple networks to the AS in an explicit or implicit manner, for assisting the UE AS in cell search.

[0291] In some embodiments, the UE NAS can directly indicate the priority of the plurality of networks to the UE AS to achieve the purpose of explicitly indicating the network priority to the UE AS; or the UE NAS can indicate the priority of the plurality of networks in the form of a list, and the network with higher priority is located in the front of the list to achieve the purpose of implicitly indicating the network priority to the UE AS.

[0292] In some embodiments, the priority of the plurality of networks can be determined according to the preference of the terminal, or the priority of the plurality of networks can be determined according to the local policy of the UE NAS, or the priority of the plurality of networks can be determined according to the configuration of the core network device, but not limited thereto.

[0293] The network selection method related to the embodiments of the present disclosure can include at least one of step S2201 to step S2202. For example, step S2201 can be implemented as an independent embodiment, step S2202 can be implemented as an independent embodiment, step S2201+S2202 can be implemented as an independent embodiment, but not limited thereto.

[0294] In some embodiments, step S2201 is optional, and this step can be omitted or replaced in different embodiments.

[0295] In some embodiments, step S2202 is optional, and this step can be omitted or replaced in different embodiments.

[0296] FIG. 2C is a flow diagram of a network selection method according to an embodiment of the present disclosure. As shown in FIG. 2C, the embodiments of the present disclosure relate to a network selection method, and the above method includes:

[0297] In step S2301, the terminal selects a network that meets the AI capability requirement of the terminal based on the first information.

[0298] In some embodiments, the first information can be pre-configured or pre-defined in the terminal, and the terminal can obtain the first information pre-configured or pre-defined by itself to achieve the acquisition of the first information.

[0299] In some embodiments, the first information can be pre-configured or pre-defined by the UE NAS.

[0300] In some embodiments, the first information can be pre-stored in a subscriber identity module (SIM) card or a local storage of the terminal, and the terminal can obtain the first information stored in the SIM card or the local storage to achieve the acquisition of the first information.

[0301] In some embodiments, the first information, when stored in the SIM card or the local storage, can be stored as information of a home network selector with access technology (HPLMN Selector with Access Technology), a user controlled PLMN selector with access technology (User Controlled PLMN Selector with Access Technology), an operator controlled PLMN selector with access technology (Operator Controlled PLMN Selector with Access Technology), forbidden PLMNs (Forbidden PLMNs), an equivalent HPLMN (Equivalent HPLMN), etc., but is not limited thereto.

[0302] Wherein, the first information and the functionality of the information included in the first information can be referred to step S2101, which will not be repeated here.

[0303] In some embodiments, the terminal can be pre-defined or pre-configured with the first information for indicating the AI capability of the access network part and / or the core network part of the network.

[0304] In some embodiments, the terminal can meet certain conditions, and based on the first information, the network meeting the AI capability requirement of the terminal is selected. The possible first conditions can be referred to step S2102, which will not be repeated here.

[0305] It should be noted that the implementation of the terminal selecting the network meeting the AI capability requirement of the terminal based on the first information and the AI capability requirement of the terminal can be referred to step S2102, which will not be repeated here.

[0306] The network selection method provided by the embodiments of the present disclosure will be further described below with a specific example.

[0307] In some embodiments, the first information can be pre-configured or pre-defined by the UE NAS, in which case the network selection can be triggered by the UE NAS, so that the UE NAS can determine the network meeting the AI capability requirement of the terminal based on the first information pre-configured or pre-defined in the UE NAS, and provide the network meeting the AI capability requirement of the terminal to the UE AS for cell search by the UE AS.

[0308] In some embodiments, the UE NAS can trigger the network selection in the case of user starting, periodic search of high priority network, current network not supporting the AI capability requirement of the terminal, etc.

[0309] In some embodiments, the UE NAS can only provide network identification information satisfying the AI capability requirement of the terminal to the UE AS for cell search. Alternatively, if the UE AS does not search for a suitable cell, the UE AS can instruct the UE NAS to fallback to a traditional network selection process, and the NAS can select a network that does not support the AI capability requirement of the terminal and instruct the UE AS to continue cell search.

[0310] In some embodiments, the UE NAS can also provide network identification information satisfying the AI capability requirement of the terminal and network identification information not satisfying the AI capability requirement of the terminal to the UE AS for cell search, and the UE AS can preferentially search for a cell under a network satisfying the AI requirement of the terminal, and if no cell is searched under the network satisfying the AI requirement of the terminal, continue to search for a cell under a network not satisfying the AI requirement of the terminal.

[0311] In some embodiments, when the UE NAS provides network identification information to the UE AS, if there are multiple networks, the UE NAS can explicitly or implicitly indicate the priority of the multiple networks to the UE AS to assist the UE AS in cell search.

[0312] In some embodiments, the UE NAS can directly indicate the priority of the multiple networks to the UE AS to achieve the purpose of explicitly indicating the priority of the networks to the UE AS, or the UE NAS can indicate the priority of the multiple networks in the form of a list, and the higher the priority of the network, the earlier the position of the network in the list, to achieve the purpose of implicitly indicating the priority of the networks to the UE AS.

[0313] In some embodiments, the priority of the multiple networks can be determined according to the preference of the terminal, or the priority of the multiple networks can be determined according to the local strategy of the UE NAS, or the priority of the multiple networks can be determined according to the configuration of the core network device,

[0314] but not limited thereto.

[0315] The network selection method related to the embodiments of the present disclosure can at least include step S2301, and step S2301 can be implemented as an independent embodiment, but is not limited thereto.

[0316] In some embodiments, other optional implementations described before or after the corresponding description of FIG. 2A, FIG. 2B, and FIG. 2C can be referred to.

[0317] According to the scheme provided by the embodiments of the present disclosure, the UE performs network selection based on AI capability information of the network, and preferentially selects a network supporting the AI requirement of the UE.

[0318] In some embodiments, the AI capability information of the network can be determined according to at least one of the following:

[0319] (1) Provided by the CN node (e.g. AMF) to the UE NAS through NAS message, the AI capability information of the CN node can be determined based on information provided by at least one of the NG-RAN, AI entity, other core network function node or server node.

[0320] Optionally, the CN node can provide the AI capability information of the network to the UE through the NAS message in the initial registration procedure or the roaming control procedure.

[0321] (2) Provided by the NG-RAN to the UE AS through broadcast system message.

[0322] (3) Pre-configured or pre-defined by the UE NAS.

[0323] Optionally, the AI capability information of the network can be stored in the terminal SIM card or local storage as at least one of the following: "HPLMN Selector with Access Technology", "User Controlled PLMN Selector with Access Technology", "Operator controlled PLMN Selector with Access Technology", "Forbidden PLMNs", "Equivalent HPLMN", etc.

[0324] In some embodiments, the UE AI requirement can be determined according to at least one of the following:

[0325] (1) Determined by the UE NAS, e.g. Network for AI. Optionally, the UE AI requirement information can be provided to the UE AS to assist the UE AS in performing cell search and reported to the UE NAS for network selection.

[0326] (2) Determined by the UE AS, e.g. AI for network. Optionally, the UE AI requirement information can be provided to the UE NAS to assist the UE NAS in network selection.

[0327] In some embodiments, the AI requirement indication can define a new AI access mode, the UE NAS indicates the AI access mode to the access network device, the access network device determines the network identity that will support the AI access mode and provides it to the UE NAS for network selection by the UE NAS. Optionally, the access network device can also provide the UE NAS with AI access capability information of the network that supports the AI access mode.

[0328] In some embodiments, the AI requirement indication can indicate whether the UE supports AI capability, whether the UE supports AI capability sharing, whether the UE supports a specific AI capability sharing mode, whether the UE supports a specific AI use case, whether the UE supports a specific AI service, whether the UE supports a specific AI resource, or whether there is a requirement for AI capability, AI capability sharing mode, AI use case, AI service, AI resource.

[0329] In some embodiments, if there are multiple UE AI requirements, the priority of the requirements can also be indicated, which can be determined based on UE internal implementation or protocol agreement, to prioritize high-priority AI requirements in the case where all UE AI requirements cannot be met.

[0330] In some embodiments, the AI capability information of the network includes at least one of the following:

[0331] (1) First indication information indicating whether the network supports AI capability.

[0332] (2) Second indication information indicating whether the network supports AI capability sharing.

[0333] (3) Third indication information indicating the AI capability sharing mode supported by the network, wherein the AI capability sharing mode includes UE sharing AI capability to NW, NW sharing AI capability to UE, and mutual sharing of AI capability between UEs (based on NW control). Optionally, the AI capability includes at least one of AI resources, AI services, and AI use cases that can be provided.

[0334] (4) Fourth indication information indicating the AI services supported by the network, the AI services including at least one of AI model training, AI model inference, AI model verification, and AI model data.

[0335] (5) Fifth indication information indicating the AI use cases supported by the network, the AI use cases including at least one of AI-based positioning use cases and AI-based beam management use cases.

[0336] (6) Sixth indication information indicating the AI resources supported by the network, the AI resources including at least one of AI computing resources, AI algorithm resources (AI model resources), AI data resources, and AI connection resources.

[0337] (7) The seventh indication information indicates an AI capability action range. The AI capability action range can be a range that supports or does not support AI capability, and can be a time range and / or a region range. The region can be a cell level, a TA level, a RA level, or a geographic location, etc.

[0338] In some embodiments, the network selection includes PLMN selection, PNI-NPN selection, SNPN selection, and the network identity can be a PLMN ID, a PNI-NPN ID (CAG ID or PLMN ID+CAG ID), or a SNPN ID (NID or PLMN ID+NID) respectively.

[0339] Two possible implementation manners of the network selection process are introduced below.

[0340] Possible implementation manner 1: The UE AS receives the network AI capability broadcast by the NG-RAN, and reports the assistance information to the UE NAS for network selection by the UE NAS.

[0341] Step 1: The UE AS autonomously or in response to receiving a NAS request, triggers cell search for network selection.

[0342] Optionally, the UE AI requirement indication can be included in the NAS request.

[0343] Step 2: The UE AS performs cell search, searches for the strongest cell on each frequency point, reads the cell system message to obtain the network AI capability of the cell, and sends the cell related information to the UE NAS for network selection.

[0344] Optionally, when the UE AS sends the cell related information to the UE NAS, if there are multiple networks, the priority information can be indicated in an explicit manner or implicitly through a list. The priority can be determined according to the signal quality of the network cell or the UE preference.

[0345] Optionally, if the UE AS does not know the UE AI requirement, it can report all the search cell related information to the UE NAS. If the UE AS knows the UE AI requirement, it can report only the cell related information that meets the UE AI requirement to the UE NAS, or all the search cell related information.

[0346] Optionally, the cell related information includes at least one of the following:

[0347] (1) Network identity information, such as PLMN ID, SNPN ID, PNI-NPN ID, etc.

[0348] (2) Network AI capability information. Optionally, if the UE AS only reports cell information that meets the conditions, the network AI capability can not be indicated. Alternatively, if the network AI capability exceeds a certain threshold, such as a computing power threshold or all AI services are supported, the network AI capability can not be indicated. The AI capability threshold can be network configured or protocol agreed.

[0349] (3) Signal quality. Optionally, if the signal quality is higher than a certain threshold, the signal quality can not be reported. The threshold can be existing or AI-specific signal quality threshold, and the threshold can be network configured or protocol agreed.

[0350] Step 3: Based on the cell-related information reported by the UE AS, the UE NAS, optionally according to the UE AI demand information, combines the UE NAS network selection strategy and configuration to select the network, and indicates the result to the UE AS for subsequent cell selection / reselection by the UE AS.

[0351] Possible implementation way 2: The UE NAS performs network selection based on the network AI capability information provided by the CN or pre-configured in the UE NAS, and based on the assistance information reported by the UE AS.

[0352] Step 1: The UE NAS triggers network selection, which can be in automatic mode or manual mode. The network selection trigger can be user booting, periodic search for high priority network, current network not supporting UE AI demand, etc.

[0353] The high priority network can be determined and configured to the UE NAS by the CN node according to the UE subscription or AI demand reported.

[0354] Step 2: The UE NAS determines the network that meets the UE AI demand based on the pre-configured or pre-defined network AI capability, or determines the network that meets the UE AI demand based on the network AI capability information configured by the CN through NAS signaling, and provides it to the UE AS for cell search.

[0355] Optionally, the UE NAS can only provide network identification information that meets the UE AI demand for UE AS cell search. If the UE AS does not search for a suitable cell, the UE NAS can optionally fallback to legacy network selection, select a network that does not support AI capability, and instruct the UE AS to continue cell search.

[0356] Optionally, the UE NAS can also provide network identification information satisfying the UE AI requirement and not satisfying the UE AI requirement for the UE AS to perform cell search, and the UE AS preferentially searches for a cell under a network satisfying the UE AI requirement, and if none is found, continues to search for a cell under a network not satisfying the UE AI requirement.

[0357] Optionally, the UE NAS instructs the UE AS to perform cell search, and if there are multiple networks, priority information can be indicated in an explicit manner or an implicit manner through a list, and the priority can be determined according to UE preference or local policy or CN configuration.

[0358] The network AI capability configured by the CN through the NAS signaling is determined based on capability information provided by an AI entity, an NG-RAN, other core network function nodes or server nodes.

[0359] FIG. 3A is a flow diagram of a network selection method according to an embodiment of the present disclosure. As shown in FIG. 3A, the present disclosure relates to a network selection method, and the method includes:

[0360] In step S3101, first information is acquired.

[0361] The optional implementation of step S3101 can refer to the optional implementation of step S2101 in FIG. 2A, the optional implementation of step S2201 in FIG. 2B, the optional implementation of step S2301 in FIG. 2C, and other associated parts in the embodiments related to FIGS. 2A, 2B, and 2C, which will not be repeated here.

[0362] In some embodiments, the terminal receives the first information sent by the access network device, but is not limited thereto, and can also receive the first information sent by other subjects.

[0363] In some embodiments, the terminal receives the first information sent by the core network device, but is not limited thereto, and can also receive the first information sent by other subjects.

[0364] In some embodiments, the terminal acquires the first information preconfigured or predefined in the terminal.

[0365] In some embodiments, the terminal acquires the first information specified by a protocol.

[0366] In some embodiments, the terminal acquires the first information from the upper layer(s).

[0367] In some embodiments, the terminal processes to obtain the first information.

[0368] In some embodiments, step S3101 is omitted, and the terminal autonomously implements the function indicated by the first information, or the above function is default or default.

[0369] In some embodiments, the first information is sent by the access network device to the terminal, the access network device can send a system message to the terminal, and the terminal can receive the system message sent by the access network device, wherein the first information is included in the system message.

[0370] In some embodiments, the first information is sent by the core network device to the terminal, and the first network element of the core network device can send a NAS message to the terminal, and the terminal receives the NAS message sent by the first network element of the core network device, wherein the first information is included in the NAS message.

[0371] In some embodiments, the first information is determined by the first network element based on information provided by the access network device, or the first information is determined by the first network element based on information provided by the AI entity, or the first information is determined by the first network element based on information provided by the second network element in the core network device, or the first information is determined by the first network element based on information provided by the server node.

[0372] In some embodiments, the first information is pre-configured or pre-defined in the terminal, and the first information can be stored in the SIM card or local storage of the terminal.

[0373] In some embodiments, the first information is used to indicate information related to AI capability of the network.

[0374] In some embodiments, the first information includes network identification information and / or AI capability information of the network.

[0375] In some embodiments, the AI capability information of the network includes at least one of the following: first indication information, the first indication information is used to indicate whether the network supports AI capability; second indication information, the second indication information is used to indicate whether the network supports AI capability sharing; third indication information, the third indication information is used to indicate an AI capability sharing mode supported by the network; fourth indication information, the fourth indication information is used to indicate an AI service supported by the network; fifth indication information, the fifth indication information is used to indicate an AI use case supported by the network; and sixth indication information, the sixth indication information is used to indicate an AI resource supported by the network.

[0376] In some embodiments, the AI capability sharing mode includes at least one of the following: sharing AI capability by the terminal to the network, sharing AI capability by the network to the terminal, and sharing AI capability among terminals.

[0377] In some embodiments, the AI service includes at least one of the following: AI model training service, AI model inference service, AI model verification service, and AI model data service.

[0378] In some embodiments, the AI use case includes at least one of an AI positioning-based AI use case, an AI beam management-based AI use case.

[0379] In some embodiments, the AI resource includes at least one of an AI computing resource, an AI algorithm resource, an AI data resource, and an AI connection resource.

[0380] In some embodiments, the AI capability information of the network further includes seventh indication information, the seventh indication information being used to indicate an AI capability action range of the network; wherein the AI capability action range includes a time range and / or a region range.

[0381] At step S3102, a network satisfying the AI capability requirement of the terminal is selected based on the first information.

[0382] The optional implementation of step S3102 can refer to the optional implementation of step S2102 in FIG. 2A, the optional implementation of step S2202 in FIG. 2B, the optional implementation of step S2301 in FIG. 2C, and other associated parts in the embodiments related to FIGS. 2A, 2B, and 2C, which will not be described here.

[0383] In some embodiments, the terminal performs cell search based on the first information to obtain cell information of a first cell on each frequency point in the network; and the terminal selects a network satisfying the AI capability requirement of the terminal based on the cell information of the first cell on each frequency point in the network.

[0384] In some embodiments, the AI capability requirement of the terminal is determined by the terminal through NAS, or the AI capability requirement of the terminal is determined by the terminal through AS.

[0385] In some embodiments, the cell information is used to indicate at least one of identification information of a network to which the cell belongs, network AI capability of the cell, and signal quality of the cell.

[0386] In some embodiments, there are multiple networks capable of satisfying the AI capability requirement of the terminal, and the terminal selects one network from the multiple networks.

[0387] In some embodiments, the terminal selects a network with the highest priority from the multiple networks based on priority information of the multiple networks; or the terminal selects a network with the best cell signal quality from the multiple networks based on cell signal quality of the multiple networks; or the terminal selects one network from the multiple networks based on a network selection strategy of the terminal.

[0388] In some embodiments, the priority information of the multiple networks is configured for the terminal by an access network device; or the priority information of the multiple networks is configured for the terminal by a core network device; or the priority information of the multiple networks is predefined or preconfigured for the terminal.

[0389] In some embodiments, the terminal selects the network satisfying the AI capability requirement of the terminal based on the first information in a case where a state of the terminal meets a network selection condition; or the terminal selects the network satisfying the AI capability requirement of the terminal based on the first information in a case where there is a network whose priority is higher than a priority of a network currently accessed by the terminal; or the terminal selects the network satisfying the AI capability requirement of the terminal based on the first information in a case where a first period is met, wherein a period length of the first period is specific to a procedure of selecting the network satisfying the AI capability requirement of the terminal; or the terminal selects the network satisfying the AI capability requirement of the terminal based on the first information in a case where the network currently accessed by the terminal does not meet the AI capability requirement of the terminal.

[0390] In some embodiments, the network comprises at least one of a PLMN, a PNI-NPN, and a SNPN.

[0391] The communication method related to the embodiments of the present disclosure can comprise at least one of steps S3101-S3102. For example, step S3101 can be implemented as an independent embodiment, step S3102 can be implemented as an independent embodiment, and steps S3101+S3102 can be implemented as an independent embodiment, but are not limited thereto.

[0392] In some embodiments, step S3101 is optional, and can be omitted or replaced in different embodiments.

[0393] In some embodiments, step S3102 is optional, and can be omitted or replaced in different embodiments.

[0394] FIG. 3B is a flow diagram of a network selection method according to an embodiment of the present disclosure. As shown in FIG. 3B, the embodiments of the present disclosure relate to a network selection method, and the above method comprises:

[0395] Step S3201: transmitting first information.

[0396] The optional implementation of step S3201 can refer to step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be described here.

[0397] In some embodiments, the access network device transmits the first information to the terminal, but is not limited thereto, and can transmit the first information to other subjects.

[0398] In some embodiments, the access network device transmits a system message to the terminal, and the system message comprises the first information.

[0399] In some embodiments, the first information is used to indicate information related to AI capability of the network.

[0400] In some embodiments, the first information includes network identification information and / or AI capability information of the network.

[0401] In some embodiments, the AI capability information of the network includes at least one of: first indication information, the first indication information being used to indicate whether the network supports AI capability; second indication information, the second indication information being used to indicate whether the network supports AI capability sharing; third indication information, the third indication information being used to indicate an AI capability sharing mode supported by the network; fourth indication information, the fourth indication information being used to indicate an AI service supported by the network; fifth indication information, the fifth indication information being used to indicate an AI use case supported by the network; and sixth indication information, the sixth indication information being used to indicate an AI resource supported by the network.

[0402] In some embodiments, the AI capability sharing mode includes at least one of: sharing AI capability by the terminal to the network, sharing AI capability by the network to the terminal, and sharing AI capability among terminals.

[0403] In some embodiments, the AI service includes at least one of: AI model training service, AI model inference service, AI model verification service, and AI model data service.

[0404] In some embodiments, the AI use case includes at least one of: AI positioning based AI use case and AI beam management based AI use case.

[0405] In some embodiments, the AI resource includes at least one of: AI computing resource, AI algorithm resource, AI data resource, and AI connection resource.

[0406] In some embodiments, the AI capability information of the network further includes seventh indication information, the seventh indication information being used to indicate an AI capability action range of the network; and the AI capability action range includes a time range and / or a region range.

[0407] In some embodiments, the first information is further used for the terminal to select a network that meets AI capability requirements of the terminal.

[0408] In some embodiments, in a case where there are multiple networks, the access network device can further configure priority information of the multiple networks for the terminal, and the priority information is used for network selection by the terminal.

[0409] In some embodiments, the network includes at least one of: PLMN, PNI-NPN, and SNPN.

[0410] The communication method related to the embodiments of the present disclosure can at least include step S3201, and step S3201 can be implemented as an independent embodiment, but is not limited thereto.

[0411] In an embodiment of the disclosure, step S3201 can be combined with step S3101 of FIG. 3A.

[0412] FIG. 3C is a flow diagram of a network selection method according to an embodiment of the disclosure. As shown in FIG. 3C, the embodiment of the disclosure relates to a network selection method, and the method comprises:

[0413] Step S3301: transmitting first information.

[0414] The optional implementation of step S3301 can refer to the optional implementation of step S2201 of FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be described here.

[0415] In some embodiments, the core network device transmits the first information to the terminal, but is not limited thereto, and can also transmit the first information to other subjects.

[0416] In some embodiments, the first information can be transmitted to the terminal by a first network element of the core network device.

[0417] In some embodiments, the first network element of the core network device transmits a NAS message to the terminal, and the NAS message comprises the first information.

[0418] In some embodiments, the first information is determined by the first network element in the core network device based on at least one of the following: information provided by the access network device; information provided by an AI entity; information provided by a second network element in the core network device; information provided by a server.

[0419] In some embodiments, the first information is used to indicate information related to AI capability of the network.

[0420] In some embodiments, the first information comprises network identification information and / or AI capability information of the network.

[0421] In some embodiments, the AI capability information of the network comprises at least one of the following: first indication information, used to indicate whether the network supports AI capability; second indication information, used to indicate whether the network supports AI capability sharing; third indication information, used to indicate an AI capability sharing mode supported by the network; fourth indication information, used to indicate an AI service supported by the network; fifth indication information, used to indicate an AI use case supported by the network; and sixth indication information, used to indicate an AI resource supported by the network.

[0422] In some embodiments, the AI capability sharing mode includes at least one of a terminal sharing an AI capability to a network, a network sharing an AI capability to a terminal, and terminals sharing AI capabilities.

[0423] In some embodiments, the AI service includes at least one of an AI model training service, an AI model inference service, an AI model verification service, and an AI model data service.

[0424] In some embodiments, the AI use case includes at least one of an AI positioning-based AI use case and an AI beam management-based AI use case.

[0425] In some embodiments, the AI resource includes at least one of an AI computing resource, an AI algorithm resource, an AI data resource, and an AI connection resource.

[0426] In some embodiments, the AI capability information of the network further includes seventh indication information, the seventh indication information being used to indicate an AI capability action range of the network; wherein the AI capability action range includes a time range and / or a region range.

[0427] In some embodiments, the first information is further used for the terminal to select a network that meets AI capability requirements of the terminal.

[0428] In some embodiments, in a case where there are multiple networks, the core network device can further configure priority information of the multiple networks for the terminal, the priority information being used for network selection by the terminal.

[0429] In some embodiments, the network includes at least one of a PLMN, a PNI-NPN, and a SNPN.

[0430] The communication method related to the embodiments of the present disclosure can at least include step S3301, and step S3301 can be implemented as an independent embodiment, but is not limited thereto.

[0431] In the embodiments of the present disclosure, step S3301 can be combined with step S3101 of FIG. 3A.

[0432] In the embodiments of the present disclosure, part or all of the steps, and optional implementation manners thereof, can be combined with part or all of the steps in other embodiments, or can be combined with optional implementation manners of other embodiments.

[0433] The embodiments of the present disclosure also propose an apparatus for implementing any of the above methods, for example, an apparatus including units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is proposed, including units or modules for implementing each step performed by a network device (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0434] It should be understood that the division of each unit or module in the above apparatus is only a logical function division, and all or part of them can be integrated into a physical entity or physically separated in actual implementation. In addition, the units or modules in the apparatus can be implemented in the form of processor calling software: for example, the apparatus includes a processor connected with a memory, the memory stores instructions, and the processor calls the instructions stored in the memory to implement any of the above methods or realize the functions of the units or modules of the above apparatus, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the apparatus or a memory outside the apparatus. Alternatively, the units or modules in the apparatus can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be realized by the design of the hardware circuit. The above hardware circuit can be understood as one or more processors; for example, in one implementation, the above hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are realized by the design of the logical relationship of the elements in the circuit; for another example, in another implementation, the above hardware circuit is a programmable logic device (PLD), and a field programmable gate array (FPGA) is taken as an example, which can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to realize the functions of part or all of the units or modules. All units or modules of the above apparatus can be implemented in the form of processor calling software, or all units or modules can be implemented in the form of hardware circuit, or part of the units or modules are implemented in the form of processor calling software, and the remaining part is implemented in the form of hardware circuit.

[0435] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), or the like. In another implementation, the processor can implement certain functions through a logical relationship of hardware circuits, and the logical relationship of the hardware circuits is fixed or can be reconfigured. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of the above part or all units or modules. In addition, the hardware circuit can also be designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), or the like.

[0436] FIG. 4A is a structural schematic diagram of a terminal according to an embodiment of the present disclosure. As shown in FIG. 4A, the terminal 4100 can at least include a processing module 4101. In some embodiments, the processing module 4101 is configured to select a network satisfying an artificial intelligence (AI) capability requirement of the terminal based on first information, the first information being used to indicate information related to an AI capability of the network. Optionally, the processing module 4101 is configured to perform at least one of other steps (for example, steps S2102, S2202, and S2301, but not limited thereto) performed by the terminal in any of the above methods, details of which are not described herein again. In some embodiments, the terminal 4100 can further include a transceiver module. Optionally, the transceiver module is configured to perform at least one of the communication steps (for example, steps S2101 and S2102, but not limited thereto) performed by the terminal in any of the above methods, details of which are not described herein again.

[0437] FIG. 4B is a structural diagram of an access network device according to an embodiment of the present disclosure. As shown in FIG. 4B, the access network device 4200 can include at least a transceiver module 4201. In some embodiments, the transceiver module 4201 is configured to send first information to a terminal, the first information being used to indicate information related to AI capability of a network, and the first information also being used for the terminal to select a network that meets AI capability requirement of the terminal. Optionally, the transceiver module 4201 is configured to perform at least one of the communication steps (for example, step S2101, but not limited to) of sending and / or receiving performed by the access network device in any of the above methods, details of which are not described herein. In some embodiments, the access network device 4200 can further include a processing module. Optionally, the processing module is configured to perform at least one of the other steps performed by the access network device in any of the above methods, details of which are not described herein.

[0438] FIG. 4C is a structural diagram of a core network device according to an embodiment of the present disclosure. As shown in FIG. 4C, the core network device 4300 can include at least a transceiver module 4301. In some embodiments, the transceiver module 4301 is configured to send first information to a terminal, the first information being used to indicate information related to AI capability of a network, and the first information also being used for the terminal to select a network that meets AI capability requirement of the terminal. Optionally, the transceiver module 4301 is configured to perform at least one of the communication steps (for example, step S2201, but not limited to) of sending and / or receiving performed by the core network device in any of the above methods, details of which are not described herein. In some embodiments, the core network device 4300 can further include a processing module. Optionally, the processing module is configured to perform at least one of the other steps performed by the core network device in any of the above methods, details of which are not described herein.

[0439] In some embodiments, the transceiver module can include a sending module and / or a receiving module, which can be separate or integrated together. Optionally, the transceiver module can be replaced by a transceiver.

[0440] In some embodiments, the processing module can be one module or can include multiple sub-modules. Optionally, the multiple sub-modules perform all or part of the steps required to be performed by the processing module. Optionally, the processing module can be replaced by a processor.

[0441] FIG. 5A is a structural schematic diagram of a communication device 5100 according to an embodiment of the present disclosure. The communication device 5100 can be a network device (for example, an access network device, a core network device, etc.), a terminal (for example, a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 5100 can be used to implement the methods described in the above method embodiments, and details can be referred to the descriptions in the above method embodiments.

[0442] As shown in FIG. 5A, the communication device 5100 includes one or more processors 5101. The processor 5101 can be a general purpose processor or a special purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (for example, a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. The communication device 5100 is used to execute any of the above methods.

[0443] In some embodiments, the communication device 5100 further includes one or more memories 5102 for storing instructions. Optionally, all or part of the memory 5102 can also be outside the communication device 5100.

[0444] In some embodiments, the communication device 5100 further includes one or more transceivers 5103. When the communication device 5100 includes one or more transceivers 5103, the transceiver 5103 performs at least one of the communication steps (for example, step S2101, step S2201, but not limited to this) of the above method, and the processor 5101 performs at least one of the other steps (for example, step S2102, step S2202, step S2301, but not limited to this).

[0445] In some embodiments, the transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms of transceiver, transceiving unit, transceiver, transceiving circuit, etc. can be replaced with each other, the terms of transmitter, transmitting unit, transmitter, transmitting circuit, etc. can be replaced with each other, and the terms of receiver, receiving unit, receiver, receiving circuit, etc. can be replaced with each other.

[0446] In some embodiments, the communication device 5100 can include one or more interface circuits 5104. Optionally, the interface circuits 5104 are connected to the memory 5102, and are configured to receive signals from the memory 5102 or other devices, and to send signals to the memory 5102 or other devices. For example, the interface circuits 5104 can read instructions stored in the memory 5102 and transmit the instructions to the processor 5101.

[0447] The communication device 5100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 5100 described in the present disclosure is not limited thereto, and the structure of the communication device 5100 can not be limited by FIG. 5A. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: (1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally also include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, and the like; (6) other devices, and the like.

[0448] FIG. 5B is a structural schematic diagram of a chip 5200 according to an embodiment of the present disclosure. For the case where the communication device 5100 is a chip or a chip system, the structural schematic diagram of the chip 5200 shown in FIG. 5B can be referred to, but is not limited thereto.

[0449] The chip 5200 includes one or more processors 5201, and the chip 5200 is configured to execute any of the above methods.

[0450] In some embodiments, the chip 5200 further includes one or more interface circuits 5202. Optionally, the interface circuits 5202 are connected to the memory 5203, and the interface circuits 5202 can be configured to receive signals from the memory 5203 or other devices, and to send signals to the memory 5203 or other devices. For example, the interface circuits 5202 can read instructions stored in the memory 5203 and transmit the instructions to the processor 5201.

[0451] In some embodiments, the interface circuits 5202 perform at least one of the communication steps (such as step S2101, step S2201, but not limited thereto) in the above methods, and the processor 5201 performs at least one of the other steps (such as step S2102, step S2202, step S2301, but not limited thereto).

[0452] In some embodiments, the terms interface circuitry, interface, transceiving pin, transceiver, and the like can be replaced by each other.

[0453] In some embodiments, the chip 5200 further includes one or more memories 5203 for storing instructions. Optionally, all or part of the memories 5203 can be outside the chip 5200.

[0454] The disclosure further provides a storage medium having stored instructions, which, when executed on the communication device 5100, cause the communication device 5100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto, and can also be a storage medium readable by other apparatuses. Optionally, the storage medium can be a non-transitory storage medium, but is not limited thereto, and can also be a transitory storage medium.

[0455] The disclosure further provides a program product, which, when executed by the communication device 5100, causes the communication device 5100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0456] The disclosure further provides a computer program, which, when executed on a computer, causes the computer to perform any of the above methods.

[0457] Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the features disclosed herein. The disclosure is intended to cover any variations, uses or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. The specification and examples are to be regarded as illustrative only, and the true scope and spirit of the disclosure are indicated by the following claims.

[0458] It should be understood that the present disclosure is not limited to the precise structures herein described and illustrated, and that various modifications and changes can be made without departing from the scope thereof. The scope of the present disclosure is limited only by the claims that follow.

Claims

1. A network selection method characterized by, The method is performed by a terminal, and the method comprises: selecting a network satisfying an artificial intelligence (AI) capability requirement of the terminal based on first information, the first information being used to indicate information related to an AI capability of a network.

2. The method of claim 1, wherein, The first information comprises network identification information and / or AI capability information of the network.

3. The method of claim 2, wherein, The AI capability information of the network comprises at least one of the following: first indication information used to indicate whether the network supports an AI capability; second indication information used to indicate whether the network supports AI capability sharing; third indication information used to indicate an AI capability sharing mode supported by the network; fourth indication information used to indicate an AI service supported by the network; fifth indication information used to indicate an AI use case supported by the network; sixth indication information used to indicate an AI resource supported by the network.

4. The method of claim 3, wherein, The AI capability sharing mode comprises at least one of the following: sharing an AI capability by the terminal to the network; sharing an AI capability by the network to the terminal; sharing an AI capability among terminals.

5. The method according to claim 3 or 4, characterized in that, The AI service comprises at least one of the following: AI model training service; AI model inference service; AI model verification service; AI model data service.

6. The method according to any one of claims 3 to 5, characterized in that, The AI use case comprises at least one of the following: AI use case based on AI positioning; AI use case based on AI beam management.

7. The method according to any one of claims 3 to 6, characterized in that, The AI resource comprises at least one of the following: AI computing power resource; AI algorithm resource; AI data resource; AI connection resource.

8. The method according to any one of claims 3 to 7, characterized in that, The AI capability information of the network further comprises seventh indication information used to indicate an AI capability scope of the network; The AI capability scope comprises a time scope and / or a region scope.

9. The method according to any one of claims 1 to 8, characterized in that, The method further comprises at least one of the following: receiving the first information sent by an access network device; receiving the first information sent by a core network device; obtaining the first information pre-configured or pre-defined in the terminal.

10. The method of claim 9, wherein, The receiving the first information sent by the access network device comprises: receiving a system message sent by the access network device, the system message comprising the first information.

11. The method according to claim 9 or 10, characterized in that, The receiving the first information sent by the core network device comprises: receiving a NAS message sent by a first network element in the core network device, the NAS message comprising the first information; The first information is determined by the first network element based on information provided by the access network device, or the first information is determined by the first network element based on information provided by an AI entity, or the first information is determined by the first network element based on information provided by a second network element in the core network device, or the first information is determined by the first network element based on information provided by a server node.

12. The method according to any one of claims 1 to 11, characterized in that, The selecting the network satisfying the AI capability requirement of the terminal based on the first information comprises: obtaining cell information of a first cell on each frequency point in a network based on the first information; selecting the network satisfying the AI capability requirement of the terminal based on the cell information of the first cell on each frequency point in the network.

13. The method of claim 12, wherein, The cell information is used to indicate at least one of the following: identity information of a network to which the cell belongs; network AI capability of the cell; signal quality of the cell.

14. The method according to any one of claims 1 to 13, characterized in that, The method further includes: selecting one network from a plurality of networks that can meet AI capability requirements of the terminal.

15. The method of claim 14, wherein, The selecting one network from the plurality of networks includes at least one of the following: selecting a network with the highest priority from the plurality of networks based on priority information of the plurality of networks; selecting a network with the best cell signal quality from the plurality of networks based on cell signal quality of the plurality of networks; selecting one network from the plurality of networks based on a network selection strategy of the terminal.

16. The method according to claim 14 or 15, characterized in that, The priority information of the plurality of networks is determined based on at least one of the following: configured by an access network device for the terminal; configured by a core network device for the terminal; predefined or preconfigured for the terminal.

17. The method of any one of claims 1 to 16, wherein, In the case where at least one of the following conditions is met, a network that meets AI capability requirements of the terminal is selected based on the first information: a state of the terminal meets a network selection condition; there is a network whose priority is higher than a priority of a network currently accessed by the terminal; a first period is met, and a period length of the first period is specific to a process of selecting a network that meets AI capability requirements of the terminal; the network currently accessed by the terminal does not meet AI capability requirements of the terminal.

18. The method of any one of claims 1 to 17, wherein, The AI capability requirements of the terminal are determined by the terminal through NAS, or the AI capability requirements of the terminal are determined by the terminal through AS.

19. The method of any one of claims 1 to 18, wherein, The network includes at least one of the following: a public land mobile network (PLMN); a public network interworking non-public network (PNI-NPN); a standalone non-public network (SNPN).

20. A network selection method characterized by, The method is performed by an access network device, and the method includes: sending first information to a terminal, the first information being used to indicate AI capability related information of a network, and the first information also being used for the terminal to select a network that meets AI capability requirements of the terminal.

21. The method of claim 20, wherein, The sending first information to a terminal includes: sending a system message to the terminal, the system message including the first information.

22. The method of claim 20 or 21, wherein, The first information includes network identity information and / or AI capability information of the network.

23. The method of claim 22, wherein, The AI capability information of the network includes at least one of the following: first indication information used to indicate whether the network supports AI capability; second indication information used to indicate whether the network supports AI capability sharing; third indication information used to indicate an AI capability sharing mode supported by the network; fourth indication information used to indicate an AI service supported by the network; fifth indication information used to indicate an AI use case supported by the network; sixth indication information used to indicate an AI resource supported by the network.

24. The method of claim 23, wherein, The AI capability sharing mode includes at least one of the following: sharing AI capability by a terminal to a network; sharing AI capability by a network to a terminal; sharing AI capability among terminals.

25. The method of claim 23 or 24, wherein, The AI service includes at least one of the following: AI model training service; AI model inference service; AI model verification service; AI model data service.

26. The method of any one of claims 23-25, wherein, The AI use case includes at least one of: AI positioning-based AI use case; AI beam management-based AI use case.

27. The method of any one of claims 23-26, wherein, The AI resource includes at least one of: AI computing resource; AI algorithm resource; AI data resource; AI connection resource.

28. The method of any one of claims 23-27, wherein, The AI capability information of the network further includes seventh indication information, the seventh indication information being used for indicating an AI capability action range of the network; The AI capability action range includes a time range and / or a region range.

29. The method of any one of claims 20-28, wherein, There are multiple networks, and the method further includes: Configuring priority information of the multiple networks for the terminal.

30. The method of any one of claims 20-29, wherein, The network includes at least one of: PLMN; PNI-NPN; SNPN.

31. A network selection method, characterized by, The method is performed by a core network device, and the method includes: Sending first information to a terminal, the first information being used for indicating information related to AI capability of a network, and the first information also being used for the terminal to select a network meeting AI capability requirements of the terminal.

32. The method of claim 31, wherein, The first information is sent to the terminal, including: Sending a NAS message to the terminal, the first information being included in the NAS message.

33. The method of claim 31 or 32, wherein, The first information is determined in at least one of the following ways: Determined by a first network element in the core network device based on information provided by an access network device; Determined by the first network element in the core network device based on information provided by an AI entity; Determined by the first network element in the core network device based on information provided by a second network element in the core network device; Determined by the first network element in the core network device based on information provided by a server.

34. The method of any one of claims 31-33, wherein, The first information includes network identification information and / or AI capability information of the network.

35. The method of claim 34, wherein, The first information includes at least one of: First indication information, the first indication information being used for indicating whether the network supports AI capability; Second indication information, the second indication information being used for indicating whether the network supports AI capability sharing; Third indication information, the third indication information being used for indicating an AI capability sharing mode supported by the network; Fourth indication information, the fourth indication information being used for indicating an AI service supported by the network; Fifth indication information, the fifth indication information being used for indicating an AI use case supported by the network; Sixth indication information, the sixth indication information being used for indicating an AI resource supported by the network.

36. The method of claim 35, wherein, The AI capability sharing mode includes at least one of: Sharing AI capability by a terminal to a network; Sharing AI capability by a network to a terminal; Sharing AI capability among terminals.

37. The method of claim 35 or 36, wherein, The AI service includes at least one of: AI model training service; AI model inference service; AI model verification service; AI model data service.

38. The method of any one of claims 35-37, wherein, The AI use case includes at least one of: AI positioning-based AI use case; AI beam management-based AI use case.

39. The method of any one of claims 35-38, wherein, The AI resource includes at least one of: AI computing resource; AI algorithm resource; AI data resource; AI connection resource.

40. The method of any one of claims 35-39, wherein, The AI capability information of the network further includes seventh indication information, the seventh indication information being used for indicating an AI capability action range of the network; The AI capability action range includes a time range and / or a region range.

41. The method of any one of claims 31-40, wherein, There are multiple networks, and the method further includes: configuring priority information of the multiple networks for the terminal.

42. The method of any one of claims 31-41, wherein, The network includes at least one of: a PLMN; a PNI-NPN; an SNPN.

43. A terminal, characterized by comprising: a processing module configured to select a network satisfying an artificial intelligence (AI) capability requirement of the terminal based on first information, the first information being used to indicate information related to AI capability of the network.

44. An access network device, comprising: comprising: a transceiver module configured to send first information to a terminal, the first information being used to indicate information related to AI capability of the network, and the first information also being used by the terminal to select a network satisfying an AI capability requirement of the terminal.

45. A core network device, comprising: comprising: a transceiver module configured to send first information to a terminal, the first information being used to indicate information related to AI capability of the network, and the first information also being used by the terminal to select a network satisfying an AI capability requirement of the terminal.

46. A terminal, characterized by comprising: one or more processors; wherein the terminal is configured to perform the network selection method of any of claims 1-19.

47. An access network device, comprising: comprising: one or more processors; wherein the access network device is configured to perform the network selection method of any of claims 20-30.

48. A core network device, comprising: comprising: one or more processors; wherein the core network device is configured to perform the network selection method of any of claims 31-42.

49. A communication system, characterized by comprising a terminal and a network device, the network device comprising an access network device and / or a core network device, wherein the terminal is configured to implement the network selection method of any of claims 1-19, the access network device is configured to implement the network selection method of any of claims 20-30, and the core network device is configured to implement the network selection method of any of claims 31-42.

50. A storage medium, the storage medium storing instructions, wherein, when the instructions are run on a communication device, cause the communication device to perform the network selection method of any of claims 1-19 or 20-30 or 31-42.

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